Anatomical Mapping Signal Processing for Automatic Scar Detection
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Solution Overview
Problem
Current coherent mapping algorithms for anatomical structures, such as the heart, require manual tagging of scar tissue, which is inefficient and prone to user error.
Innovation Solution
A mapping engine that automatically identifies scar tissue by analyzing biometric data using automatic tagging, time weighted local activation time assignment, and discrimination operations, reducing user intervention and improving scar identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tagging of scar tissue is performed in current coherent mapping algorithms, then user control and verification are maintained, but the process is inefficient and prone to user error
Solution Approach 1:
The system performs automatic tagging of scar tissue using algorithmic analysis of biometric data, allowing the system to serve itself in identifying scar tissue without requiring manual user intervention for each tag, thereby improving efficiency while maintaining accuracy through multiple analytical operations
Solution Approach 2:
The system uses discrimination operations and time weighted local activation time assignment to continuously refine and verify scar tissue identification, creating a feedback loop that enhances both efficiency and reliability by automatically validating results
2Ease of operation
If automatic tagging operations are implemented, then user intervention is minimized and efficiency improves, but the complexity of the processing algorithm increases
Solution Approach 1:
The automatic tagging process is divided into distinct operational stages including discrimination operations, time weighted local activation time assignment, and verification steps, allowing complex processing to be managed through modular, sequential operations that reduce overall system complexity
Solution Approach 2:
The system introduces intermediate processing steps such as velocity vector calculations and signal filtering operations that mediate between raw biometric data and final scar tissue identification, simplifying the overall process by breaking it into manageable intermediate stages
Data Source
AI summary
A method is provided. The method is implemented by a mapping engine. The method includes receiving biometric data of at least a portion of an anatomical structure from at least a catheter and analyzing the biometric data based on an automatic tagging operation, a time weighted local activation time assignment operation, or a discrimination operation. The method also includes determining scar tissue of the portion of the anatomical structure based on the analyzing of the biometric data.